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data integration (computer science)

Data mining for business intelligence with data integration

Data mining for business intelligence with data integration

... source data files. Data federation technique normally employs a metadata reference file to connect related customer information together based on a common ...key. Data federation always pulls ...

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OWL based XML Data Integration

OWL based XML Data Integration

... Data integration helps in manipulating data transparently across multiple distributed ...of integration system is to provide a unified global view to the user over various heterogeneous ...

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Data integration in biological research: an overview

Data integration in biological research: an overview

... to data files, and these will always evolve accord- ing to the needs of the communities as well as the nature of the data and associated ...for data integration and reusability across such ...

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ProbeIT: server design and data integration

ProbeIT: server design and data integration

... the data in a different ...the data integration project was to provide an automated electronic method to analyse the data sources, map each piece of data to one or more segments and ...

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Evaluation of O2PLS in Omics data integration

Evaluation of O2PLS in Omics data integration

... The integration and the variable selection of two dif- ferent types of omics data sets is nowadays an active research ...the data integration and the different analyses in the study we refer ...

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Data integration for quantitative analysis of sustainability

Data integration for quantitative analysis of sustainability

... is data integration through the development of an integrated database of demographic and statistical data for urban sustainability ...statistical data sources that may be used for various ...

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Contextualization of Defect Management in Data Integration

Contextualization of Defect Management in Data Integration

... In data integration project, as development of ETL (Extraction, Transformation and Loading) processes is completed, the testing phase will be ...a data migration ...

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Clinical data integration approach using SAS clinical data integration server (CDI) tools

Clinical data integration approach using SAS clinical data integration server (CDI) tools

... medical data are available in fragmented, disparate and heterogeneous data ...centralised data warehouse structure to integrate these data silos, it is highly unlikely and impractical for the ...

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Data integration to prioritize drugs using genomics and curated data

Data integration to prioritize drugs using genomics and curated data

... with integration of multiple types of molecular data. Data integration approaches for drug prioritization have successfully integrated diverse molecular data but do not take full ...

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Data diffraction : challenging data integration in mixed methods research

Data diffraction : challenging data integration in mixed methods research

... of data integration ...that data are ‘‘brought together’’ through ‘‘merging’’, ‘‘connect- ing’’ or ‘‘embedding’’ different ...process data integration actually takes ...of data ...

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Data Mining: Business Intelligence, Data Integration: Different Data Analysis Methods

Data Mining: Business Intelligence, Data Integration: Different Data Analysis Methods

... covers data analysis that relies heavily on aggregation, focusing on business ...divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data ...

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Dipper: A Data Integration with Privacy Protection Environment

Dipper: A Data Integration with Privacy Protection Environment

... the data sets is similar to joining database ...the data would not have been stored in a data ...disparate data sets do not always use the same hard keys. Instead, the integration often ...

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Discovering transcriptional modules by Bayesian data integration

Discovering transcriptional modules by Bayesian data integration

... each data integration analysis are rich and ...the data integration ...cycle data set comprise 20 MCMC chains, each of 5000 samples (after removal of 1000 burn-in ...

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Data Integration Models for Operational Data Warehousing

Data Integration Models for Operational Data Warehousing

... for data latency also changes over time. Which data latency users need today may change in the next year or few months, depending on the projects and new business ...operational data warehousing, the ...

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A Survey of Data Integration

A Survey of Data Integration

... the data integration system, as well as some of the key modules of the algorithm description and ...research, data integration technology has also been more and more applied to various ...

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Data integration for plant genomics - exemplars from the integration of Arabidopsis thaliana databases

Data integration for plant genomics - exemplars from the integration of Arabidopsis thaliana databases

... requires integration of existing informa- tion ...the data is a challenge for ...for data integration and we use a graph based integration method (Ondex) to illustrate some of these ...

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A framework for utility data integration in the UK

A framework for utility data integration in the UK

... the data snapshots on a secure server outside the utility company’s ...the data sets to be integrated incrementally (every time a snapshot is updated) reducing the need, and processing overhead, of ...

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ERP and CRM Data Integration

ERP and CRM Data Integration

... their integration into the ex- isting system (showing the classes of problems that emerge at the level of their adaptation and synchroni- sation into the existing IS); ...master data and document exchange ...

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Cloud Integration for eHealth Data

Cloud Integration for eHealth Data

... the data must be compatible and ...cloud integration procedures in which data fields that should be compatible are not according to design or distribution ...large-scale data residing at ...

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Integration of Heterogeneous Data Sources

Integration of Heterogeneous Data Sources

... Abstract---Data integration deals with integrating heterogeneous data sources and it is a complex activity that involves reconciliation at various levels - data models, data schema and ...

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